Impact of Artificial Intelligence on Metabolic Bariatric Surgery (MBS) and Minimally Invasive Surgery (MIS): A Literature Review

Background: Artificial intelligence (AI) is emerging as a transformative force in healthcare, particularly in metabolic bariatric surgery (MBS) and minimally invasive surgery (MIS). This literature review explores AI’s applications, advantages, challenges, and future potential in these fields. Methods: A narrative review of 30 studies, including randomized controlled trials, observational studies, literature reviews, and meta-analyses, was conducted. Critical findings on AI’s impact on surgical precision, workflow efficiency, complications, and patient outcomes were synthesized. Results: AI-enabled techniques significantly improved surgical precision, reduced complication rates, and optimized workflows. AI applications in preoperative planning, intraoperative assistance, and postoperative monitoring demonstrated consistent advantages. However, ethical concerns, data privacy, and standardization issues persist. Conclusion: AI integration in MBS and MIS has the potential to revolutionize surgical outcomes, enhance precision, and improve efficiency. Addressing interoperability, data security, and regulatory barriers will be crucial for widespread adoption.